The ALMA-ATOMS Survey: Exploring Protostellar Outflows in HCN
arXiv:2505.04164
Abstract
We present the first systematic study of bipolar outflows using HCN as a tracer in a sample of 146 massive star-forming regions from ALMA-ATOMS survey. Protostellar outflows arise at the initial stage of star formation as a consequence of active accretion. In general, these outflows play a pivotal role in regulating the star formation processes by injecting energetic material in the parent molecular clouds. In such process, lower velocity components of outflows contain a significant portion of the energy. However, extraction of those component is difficult as the corresponding gas is often mixed with that of the ambient cloud. In our sample, we identified 44 bipolar outflows and one explosive outflow in HCN (J=11--10). The host clumps of these outflows are found to be at different evolutionary stages, suggesting that outflows in HCN are detectable in different stages of star formation. Also, the non-correlation of HCN outflows with clump evolutionary stages suggests that HCN is an unbiased tracer of outflows. Analyses revealed that HCN performs slightly better in detecting low-velocity components of outflows than traditionally employed tracers like SiO. The derived outflow parameters (i.e outflow mass, momentum, and energy) show moderate correlations with clump mass and luminosity. Our analysis of outflow opening angles and position-velocity diagrams across the outflow lobes show that, HCN is not only a good tracer of low-velocity outflows, but can also detect high-velocity collimated outflows. Overall, this study indicates that HCN can be used as a complementary outflow tracer along with the traditionally known outflow tracers, particularly in the detection of the low-velocity components of outflows.
26 pages, 12 figures, 4 tables, Accepted for publication in ApJ